<!-- This comment will put IE 6, 7 and 8 in quirks mode -->
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<title>include/shark/Models/Kernels/MissingFeaturesKernelExpansion.h Source File</title>
<script type="text/javaScript" src="search/search.js"></script>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
<script id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3.0.1/es5/tex-mml-chtml.js"></script>
<script src="../../mlstyle.js"></script>
<link href="../css/besser.css" rel="stylesheet" type="text/css"/>
</head>
<!-- pretty cool: each body gets an id tag which is the basename of the web page  -->
<!--              and allows for page-specific CSS. this is client-side scripted, -->
<!--              so the id will not yet show up in the served source code -->
<script type="text/javascript">
    jQuery(document).ready(function () {
        var url = jQuery(location).attr('href');
        var pname = url.substr(url.lastIndexOf("/")+1, url.lastIndexOf(".")-url.lastIndexOf("/")-1);
        jQuery('#this_url').html('<strong>' + pname + '</strong>');
        jQuery('body').attr('id', pname);
    });
</script>
<body>
    <div id="shark_old">
        <div id="wrap">
            <div id="header">
                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
                <ul id="nav">
                    <li >
                        <a href="../../sphinx_pages/build/html/rest_sources/installation.html">Installation</a>
                    </li>
		    <li >
                        <a href="../../sphinx_pages/build/html/rest_sources/tutorials/tutorials.html">Tutorials</a>
                    </li>
		    <li >
                        <a href="../../sphinx_pages/build/html/rest_sources/benchmark.html">Benchmarks</a>
                    </li>
                    <li class="active">
                        <a href="classes.html">Documentation</a>
                        <ul>
                            <li class="first"></li>
                            <li><a href="../../sphinx_pages/build/html/rest_sources/quickref/quickref.html">Quick references</a></li>
                            <li><a href="classes.html">Class list</a></li>
                            <li class="last"><a href="group__shark__globals.html">Global functions</a></li>
                        </ul>
                    </li>
                </ul>
            </div>
        </div>
    </div>
<div id="doxywrapper">
<!--
    <div id="global_doxytitle">Doxygen<br>Documentation:</div>
-->
    <div id="navrow_wrapper">
<!-- Generated by Doxygen 1.9.8 -->
<div id="nav-path" class="navpath">
  <ul>
<li class="navelem"><a class="el" href="dir_d44c64559bbebec7f509842c48db8b23.html">include</a></li><li class="navelem"><a class="el" href="dir_9d0c4981f10d03078bcfd5c74fe41ce8.html">shark</a></li><li class="navelem"><a class="el" href="dir_d88670438e31f34fbe7ccda1c525ad9e.html">Models</a></li><li class="navelem"><a class="el" href="dir_a6756342ed4717625c18af498e877dee.html">Kernels</a></li>  </ul>
</div>
</div><!-- top -->
<div class="header">
  <div class="headertitle"><div class="title">MissingFeaturesKernelExpansion.h</div></div>
</div><!--header-->
<div class="contents">
<a href="_missing_features_kernel_expansion_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">//===========================================================================</span><span class="comment"></span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> * </span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> *</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> * \brief       A kernel expansion with support of missing features</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> * </span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> * </span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> *</span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> * \author      B. Li</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> * \date        2012</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> *</span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> *</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> * </span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> * </span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published </span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> * </span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="comment"> * </span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="comment"> *</span></div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="comment"> */</span></div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="comment">//===========================================================================</span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span><span class="preprocessor">#include &lt;<a class="code" href="_dataset_8h.html">shark/Data/Dataset.h</a>&gt;</span></div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="preprocessor">#include &lt;<a class="code" href="_data_view_8h.html">shark/Data/DataView.h</a>&gt;</span></div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="preprocessor">#include &lt;<a class="code" href="_eval_skip_missing_features_8h.html">shark/Models/Kernels/EvalSkipMissingFeatures.h</a>&gt;</span></div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="preprocessor">#include &lt;<a class="code" href="_kernel_expansion_8h.html">shark/Models/Kernels/KernelExpansion.h</a>&gt;</span></div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span> </div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a> {</div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span><span class="comment"></span> </div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="comment">/// \brief Kernel expansion with missing features support</span></div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="comment">/// For a choice of kernel, see \ref kernels.</span></div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span><span class="comment">/// \ingroup models</span></div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="comment"></span><span class="keyword">template</span>&lt;<span class="keyword">class</span> InputType&gt;</div>
<div class="foldopen" id="foldopen00045" data-start="{" data-end="};">
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html">   45</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_missing_features_kernel_expansion.html" title="Kernel expansion with missing features support For a choice of kernel, see Kernels.">MissingFeaturesKernelExpansion</a> : <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_kernel_expansion.html" title="Linear model in a kernel feature space.">KernelExpansion</a>&lt;InputType&gt;</div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>{</div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="keyword">private</span>:</div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_kernel_expansion.html" title="Linear model in a kernel feature space.">KernelExpansion&lt;InputType&gt;</a> <a class="code hl_class" href="classshark_1_1_kernel_expansion.html" title="Linear model in a kernel feature space.">Base</a>;</div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html#a9dae0d867c47aa72714e057f9a5d1b9f">   50</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">Base::KernelType</a> <a class="code hl_typedef" href="classshark_1_1_missing_features_kernel_expansion.html#a9dae0d867c47aa72714e057f9a5d1b9f">KernelType</a>;</div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html#acc2b882befd9e12e1465bc845d45ebd2">   51</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_kernel_expansion.html#a651c84963d3935af5324530e1722830b">Base::BatchInputType</a> <a class="code hl_typedef" href="classshark_1_1_missing_features_kernel_expansion.html#acc2b882befd9e12e1465bc845d45ebd2">BatchInputType</a>;</div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html#afa1fd94574199968f74a3ebf54792e56">   52</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_kernel_expansion.html#a3d47bea3d1bb6b1c5044c9208f1dfd09">Base::BatchOutputType</a> <a class="code hl_typedef" href="classshark_1_1_missing_features_kernel_expansion.html#afa1fd94574199968f74a3ebf54792e56">BatchOutputType</a>;<span class="comment"></span></div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span><span class="comment">    /// Constructors from the base class</span></div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span><span class="comment">    ///@{</span></div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html#a502217606f51799af4ec422f33e7687e">   55</a></span><span class="comment"></span>    <a class="code hl_function" href="classshark_1_1_missing_features_kernel_expansion.html#a502217606f51799af4ec422f33e7687e">MissingFeaturesKernelExpansion</a>(){}</div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span> </div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span> </div>
<div class="foldopen" id="foldopen00058" data-start="{" data-end="}">
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html#adc88dba3df728e6535fb3f339e8a5d53">   58</a></span>    <a class="code hl_function" href="classshark_1_1_missing_features_kernel_expansion.html#adc88dba3df728e6535fb3f339e8a5d53">MissingFeaturesKernelExpansion</a>(<a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">KernelType</a>* <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">kernel</a>)</div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>    : <a class="code hl_class" href="classshark_1_1_kernel_expansion.html" title="Linear model in a kernel feature space.">Base</a>(<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">kernel</a>)</div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>    {}</div>
</div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span> </div>
<div class="foldopen" id="foldopen00062" data-start="{" data-end="}">
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html#a995952df050c442f79f0d51d120bdda0">   62</a></span>    <a class="code hl_function" href="classshark_1_1_missing_features_kernel_expansion.html#a995952df050c442f79f0d51d120bdda0">MissingFeaturesKernelExpansion</a>(<a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">KernelType</a>* <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">kernel</a>, <a class="code hl_class" href="classshark_1_1_data.html" title="Data container.">Data&lt;InputType&gt;</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a48c4d31664d347f477cfb305a7b98d61">basis</a>, <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a1c89cb50933ee211d67af90e6366e0ee">offset</a>)</div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>    : <a class="code hl_class" href="classshark_1_1_kernel_expansion.html" title="Linear model in a kernel feature space.">Base</a>(<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">kernel</a>, <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a48c4d31664d347f477cfb305a7b98d61">basis</a>, <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a1c89cb50933ee211d67af90e6366e0ee">offset</a>, 1u)</div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>    {}<span class="comment"></span></div>
</div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span><span class="comment">    ///@}</span></div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span><span class="comment"></span><span class="comment"></span> </div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span><span class="comment">    /// \brief From INameable: return the class name.</span></div>
<div class="foldopen" id="foldopen00068" data-start="{" data-end="}">
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html#af68e2d95781b1753eca457476b44c11f">   68</a></span><span class="comment"></span>    std::string <a class="code hl_function" href="classshark_1_1_missing_features_kernel_expansion.html#af68e2d95781b1753eca457476b44c11f" title="From INameable: return the class name.">name</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <span class="stringliteral">&quot;MissingFeaturesKernelExpansion&quot;</span>; }</div>
</div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span> </div>
<div class="foldopen" id="foldopen00071" data-start="{" data-end="}">
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html#abccbbad9f32c73e2419bc120c5ebb53c">   71</a></span>    boost::shared_ptr&lt;State&gt; <a class="code hl_function" href="classshark_1_1_missing_features_kernel_expansion.html#abccbbad9f32c73e2419bc120c5ebb53c" title="Creates an internal state of the model.">createState</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        <span class="keywordflow">return</span> boost::shared_ptr&lt;State&gt;(<span class="keyword">new</span> <a class="code hl_struct" href="structshark_1_1_empty_state.html" title="Default State of an Object which does not need a State.">EmptyState</a>());</div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>    }</div>
</div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span><span class="comment"></span> </div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span><span class="comment">    /// Override eval(...) in the base class</span></div>
<div class="foldopen" id="foldopen00076" data-start="{" data-end="}">
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html#ad54351526ec5ab5370b56e5a6b5250ed">   76</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_missing_features_kernel_expansion.html#ad54351526ec5ab5370b56e5a6b5250ed" title="Override eval(...) in the base class.">eval</a>(<a class="code hl_typedef" href="classshark_1_1_missing_features_kernel_expansion.html#acc2b882befd9e12e1465bc845d45ebd2">BatchInputType</a> <span class="keyword">const</span>&amp; patterns, <a class="code hl_typedef" href="classshark_1_1_missing_features_kernel_expansion.html#afa1fd94574199968f74a3ebf54792e56">BatchOutputType</a>&amp; outputs)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>        <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">Base::mep_kernel</a>);</div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">Base::m_alpha</a>.size1() &gt; 0u);</div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>        </div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>        <span class="comment">//Todo: i am too lazy to us iterated loops in this function.</span></div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <span class="comment">//so i am using a DataView to have O(1) random access lookup. but this is not needed!</span></div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>        <a class="code hl_class" href="classshark_1_1_data_view.html" title="Constant time Element-Lookup for Datasets.">DataView&lt;Data&lt;InputType&gt;</a> <span class="keyword">const</span> &gt; indexedBasis(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">Base::m_basis</a>);</div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>        </div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        ensure_size(outputs,<a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(patterns),<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a251b1a2dec182d8433b8010fc2df0787" title="dimensionality of the output RealVector">Base::outputShape</a>().numElements());</div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>        <span class="keywordflow">if</span> (<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#afb02d63dd18cb3ba534d1393c092752f">Base::hasOffset</a>())</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>                noalias(outputs) = repeat(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2" title="offset or bias term">Base::m_b</a>,<a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(patterns));</div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>            <span class="keywordflow">else</span></div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>                outputs.clear();</div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>        </div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>        <span class="keywordflow">for</span>(std::size_t p = 0; p != <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(patterns); ++p){</div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span> </div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span> </div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>            <span class="comment">// Calculate scaling coefficient for the &#39;pattern&#39;</span></div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>            <span class="keyword">const</span> <span class="keywordtype">double</span> patternNorm = <a class="code hl_function" href="classshark_1_1_missing_features_kernel_expansion.html#ad2194899bc2ad060c751e6f15dceb91a">computeNorm</a>(column(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">Base::m_alpha</a>, 0), <a class="code hl_variable" href="classshark_1_1_missing_features_kernel_expansion.html#ad5a3b4ac2703bf9688433e9b9e9c61c2" title="The scaling coefficients.">m_scalingCoefficients</a>, row(patterns,p));</div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>            <span class="keyword">const</span> <span class="keywordtype">double</span> patternSc = patternNorm / <a class="code hl_variable" href="classshark_1_1_missing_features_kernel_expansion.html#a53f8ae12d117e2ca8065511668c673ad" title="The norm of classifier(w)">m_classifierNorm</a>;</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span> </div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>            <span class="comment">// Do normal classification except that we use kernel which supports inputs with Missing features</span></div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>            <span class="comment">//TODO: evaluate k for all i and replace the += with a matrix-vector operation. </span></div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>            <span class="comment">//better: do this for all p and i and go matrix-matrix-multiplication</span></div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>            <span class="keywordflow">for</span> (std::size_t i = 0; i != indexedBasis.<a class="code hl_function" href="classshark_1_1_data_view.html#a71ba14d4f067dc437d6683dac9982f77">size</a>(); ++i){</div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>                <span class="keyword">const</span> <span class="keywordtype">double</span> k = <a class="code hl_function" href="group__kernels.html#ga686904ecf2fd8e7d8c1d6799c403afb9">evalSkipMissingFeatures</a>(</div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>                    *<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">Base::mep_kernel</a>,</div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>                    indexedBasis[i],</div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>                    row(patterns,p)) / <a class="code hl_variable" href="classshark_1_1_missing_features_kernel_expansion.html#ad5a3b4ac2703bf9688433e9b9e9c61c2" title="The scaling coefficients.">m_scalingCoefficients</a>[i] / patternSc;</div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>                noalias(row(outputs,p)) += k * row(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">Base::m_alpha</a>, i);</div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>                </div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>            }</div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>        }</div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>    }</div>
</div>
<div class="foldopen" id="foldopen00110" data-start="{" data-end="}">
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html#a4e541807a0dcdb55a6efb71533a26091">  110</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_missing_features_kernel_expansion.html#a4e541807a0dcdb55a6efb71533a26091" title="Standard interface for evaluating the response of the model to a batch of patterns.">eval</a>(<a class="code hl_typedef" href="classshark_1_1_missing_features_kernel_expansion.html#acc2b882befd9e12e1465bc845d45ebd2">BatchInputType</a> <span class="keyword">const</span>&amp; patterns, <a class="code hl_typedef" href="classshark_1_1_missing_features_kernel_expansion.html#afa1fd94574199968f74a3ebf54792e56">BatchOutputType</a>&amp; outputs, <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a> &amp; state)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>        <a class="code hl_function" href="classshark_1_1_missing_features_kernel_expansion.html#ad54351526ec5ab5370b56e5a6b5250ed" title="Override eval(...) in the base class.">eval</a>(patterns, outputs);</div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>    }</div>
</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span><span class="comment"></span> </div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span><span class="comment">    /// Calculate norm of classifier, i.e., ||w||</span></div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span><span class="comment">    /// formula:</span></div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span><span class="comment">    /// \f$ \sum_{i,j=1}^{n}\alpha_i\frac{y_i}{s_i}K\left(x_i,x_j)\right)\frac{y_j}{s_j}\alpha_j \f$</span></div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span><span class="comment">    /// where \f$ s_i \f$ is scaling coefficient, and \f$ K \f$ is kernel function,</span></div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span><span class="comment">    /// \f$ K\left(x_i,x_j)\right) \f$ is taken only over features that are valid for both \f$ x_i \f$ and \f$ x_j \f$</span></div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span><span class="comment"></span>    <span class="keyword">template</span>&lt;<span class="keyword">class</span> InputTypeT&gt;</div>
<div class="foldopen" id="foldopen00121" data-start="{" data-end="}">
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html#ad2194899bc2ad060c751e6f15dceb91a">  121</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_missing_features_kernel_expansion.html#ad2194899bc2ad060c751e6f15dceb91a">computeNorm</a>(</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>        <span class="keyword">const</span> RealVector&amp; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a3c65dfd17f38eaa461f6400d302fae48">alpha</a>,</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>        <span class="keyword">const</span> RealVector&amp; scalingCoefficient,</div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>        InputTypeT <span class="keyword">const</span>&amp; missingness</div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>    )<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>        <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">Base::mep_kernel</a>);</div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a3c65dfd17f38eaa461f6400d302fae48">alpha</a>.size() == scalingCoefficient.size());</div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">Base::m_basis</a>.numberOfElements() == <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a3c65dfd17f38eaa461f6400d302fae48">alpha</a>.size());</div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span> </div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>        <span class="comment">// Calculate ||w||^2</span></div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>        <span class="keywordtype">double</span> norm_sqr = 0.0;</div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>        </div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>        <span class="comment">//Todo: i am too lazy to use iterated loops in this function.</span></div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>        <span class="comment">//so i am using a DataView to have O(1) random access lookup. but this is not needed!</span></div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>        <a class="code hl_class" href="classshark_1_1_data_view.html" title="Constant time Element-Lookup for Datasets.">DataView&lt;Data&lt;InputType&gt;</a> <span class="keyword">const</span> &gt; indexedBasis(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">Base::m_basis</a>);</div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span> </div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        <span class="keywordflow">for</span> (std::size_t i = 0; i &lt; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a3c65dfd17f38eaa461f6400d302fae48">alpha</a>.size(); ++i){</div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>            <span class="keywordflow">for</span> (std::size_t j = 0; j &lt; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a3c65dfd17f38eaa461f6400d302fae48">alpha</a>.size(); ++j){</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>                <span class="keyword">const</span> <span class="keywordtype">double</span> evalResult = <a class="code hl_function" href="group__kernels.html#ga686904ecf2fd8e7d8c1d6799c403afb9">evalSkipMissingFeatures</a>(</div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>                    *<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">Base::mep_kernel</a>,</div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>                    indexedBasis[i],</div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>                    indexedBasis[j],</div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>                    missingness);</div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>                <span class="comment">// Note that in Shark solver, we do axis flip by substituting \alpha with y \times \alpha</span></div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>                norm_sqr += evalResult * <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a3c65dfd17f38eaa461f6400d302fae48">alpha</a>(i) * <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a3c65dfd17f38eaa461f6400d302fae48">alpha</a>(j) / scalingCoefficient(i) / scalingCoefficient(j);</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>            }</div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>        }</div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span> </div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>        <span class="comment">// Return ||w||</span></div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>        <span class="keywordflow">return</span> std::sqrt(norm_sqr);</div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>    }</div>
</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>    </div>
<div class="foldopen" id="foldopen00153" data-start="{" data-end="}">
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html#a6673dbc1445ffc3cd0aea0d547487000">  153</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_missing_features_kernel_expansion.html#a6673dbc1445ffc3cd0aea0d547487000">computeNorm</a>(</div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>        <span class="keyword">const</span> RealVector&amp; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a3c65dfd17f38eaa461f6400d302fae48">alpha</a>,</div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>        <span class="keyword">const</span> RealVector&amp; scalingCoefficient</div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>    )<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>        <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">Base::mep_kernel</a>);</div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a3c65dfd17f38eaa461f6400d302fae48">alpha</a>.size() == scalingCoefficient.size());</div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">Base::m_basis</a>.numberOfElements() == <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a3c65dfd17f38eaa461f6400d302fae48">alpha</a>.size());</div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>        </div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>        <span class="comment">//Todo: i am too lazy to us iterated loops in this function.</span></div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>        <span class="comment">//so i am using a DataView to have O(1) random access lookup. but this is not needed!</span></div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>        <a class="code hl_class" href="classshark_1_1_data_view.html" title="Constant time Element-Lookup for Datasets.">DataView&lt;Data&lt;InputType&gt;</a> <span class="keyword">const</span> &gt; indexedBasis(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">Base::m_basis</a>);</div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span> </div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>        <span class="comment">// Calculate ||w||^2</span></div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>        <span class="keywordtype">double</span> norm_sqr = 0.0;</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>        </div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>        <span class="keywordflow">for</span> (std::size_t i = 0; i &lt; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a3c65dfd17f38eaa461f6400d302fae48">alpha</a>.size(); ++i){</div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span>            <span class="keywordflow">for</span> (std::size_t j = 0; j &lt; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a3c65dfd17f38eaa461f6400d302fae48">alpha</a>.size(); ++j){</div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span>                <span class="keyword">const</span> <span class="keywordtype">double</span> evalResult = <a class="code hl_function" href="group__kernels.html#ga686904ecf2fd8e7d8c1d6799c403afb9">evalSkipMissingFeatures</a>(</div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>                    *<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">Base::mep_kernel</a>,</div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span>                    indexedBasis[i],</div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span>                    indexedBasis[j]);</div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span>                <span class="comment">// Note that in Shark solver, we do axis flip by substituting \alpha with y \times \alpha</span></div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span>                norm_sqr += evalResult * <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a3c65dfd17f38eaa461f6400d302fae48">alpha</a>(i) * <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a3c65dfd17f38eaa461f6400d302fae48">alpha</a>(j) / scalingCoefficient(i) / scalingCoefficient(j);</div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span>            }</div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span>        }</div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span> </div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span>        <span class="comment">// Return ||w||</span></div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span>        <span class="keywordflow">return</span> std::sqrt(norm_sqr);</div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span>    }</div>
</div>
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span> </div>
<div class="foldopen" id="foldopen00183" data-start="{" data-end="}">
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html#aa91acaf3efe28b8895ba3bfd7af45c3a">  183</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_missing_features_kernel_expansion.html#aa91acaf3efe28b8895ba3bfd7af45c3a">setScalingCoefficients</a>(<span class="keyword">const</span> RealVector&amp; scalingCoefficients)</div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span>    {</div>
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span><span class="preprocessor">#if DEBUG</span></div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span>        <span class="keywordflow">for</span>(<span class="keywordtype">double</span> v: scalingCoefficients)</div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>        {</div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span>            <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(v &gt; 0.0);</div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span>        }</div>
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span><span class="preprocessor">#endif</span></div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>        <a class="code hl_variable" href="classshark_1_1_missing_features_kernel_expansion.html#ad5a3b4ac2703bf9688433e9b9e9c61c2" title="The scaling coefficients.">m_scalingCoefficients</a> = scalingCoefficients;</div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span>    }</div>
</div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span> </div>
<div class="foldopen" id="foldopen00194" data-start="{" data-end="}">
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html#a71367248f174d343ec79670207d5f947">  194</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_missing_features_kernel_expansion.html#a71367248f174d343ec79670207d5f947">setClassifierNorm</a>(<span class="keywordtype">double</span> classifierNorm)</div>
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span>    {</div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span>        <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(classifierNorm &gt; 0.0);</div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span>        <a class="code hl_variable" href="classshark_1_1_missing_features_kernel_expansion.html#a53f8ae12d117e2ca8065511668c673ad" title="The norm of classifier(w)">m_classifierNorm</a> = classifierNorm;</div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span>    }</div>
</div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span> </div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span><span class="keyword">protected</span>:<span class="comment"></span></div>
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span><span class="comment">    /// The scaling coefficients</span></div>
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html#ad5a3b4ac2703bf9688433e9b9e9c61c2">  202</a></span><span class="comment"></span>    RealVector <a class="code hl_variable" href="classshark_1_1_missing_features_kernel_expansion.html#ad5a3b4ac2703bf9688433e9b9e9c61c2" title="The scaling coefficients.">m_scalingCoefficients</a>;</div>
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span><span class="comment"></span> </div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span><span class="comment">    /// The norm of classifier(w)</span></div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno"><a class="line" href="classshark_1_1_missing_features_kernel_expansion.html#a53f8ae12d117e2ca8065511668c673ad">  205</a></span><span class="comment"></span>    <span class="keywordtype">double</span> <a class="code hl_variable" href="classshark_1_1_missing_features_kernel_expansion.html#a53f8ae12d117e2ca8065511668c673ad" title="The norm of classifier(w)">m_classifierNorm</a>;</div>
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span>};</div>
</div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno">  207</span> </div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span>} <span class="comment">// namespace shark {</span></div>
</div><!-- fragment --></div><!-- contents -->
</div>
</body>
</html>
